The BARC Data Culture Summit is designed for professionals responsible for data strategy, analytics and digital transformation. The event focuses on practical approaches for establishing a data-driven mindset across organizations.
Key topics include:
Through presentations, discussions and networking sessions, participants gain insights into how leading organizations successfully build and scale their data culture.
Enterprise AI adoption rarely fails because of models. It fails because people don’t trust what AI changes in their daily work. In regulated environments, that trust is shaped by three questions leaders care about: What happens if we don’t act? What risks do we introduce if we do? And how do we operationalize control without killing speed? In this interactive Power Talk, we share a pragmatic “new ways of working” approach featuring multiple use cases: one example will be an AI-powered analytics system that meets every user where they are, from guided point-and-click to natural-language chat to full code-level access, all running on audit-ready infrastructure. Through guided discussion, participants will map their own AI initiatives against a Trust & Adoption Ladder, surfacing the real friction points (skills gaps, auditability, governance, data access) and identifying the confidence-building levers that move initiatives from pilot to production. Together, we’ll compare patterns across the room and distill a compact playbook for scaling AI, without compromising compliance. You will leave with concrete templates and peer-tested strategies to turn AI from a novelty into a reliable capability that upgrades collaboration, empowers non-technical experts, and creates measurable momentum.
🔗To the LinkedIn profile of Dr. Ali Farnoud
Dr. Ali Farnoud leads AI/ML-driven innovation and technology initiatives within the Clinical Pharmacology organization at Boehringer Ingelheim. He completed his PhD at Heidelberg University and subsequently conducted postdoctoral research at Helmholtz Munich, focusing on AI methods and their application in biomedicine. His work advances clinical data analysis by combining quantitative pharmacology with AI to (1) accelerate end-to-end analysis pipelines in clinical pharmacology and drug development and (2) enable ML-driven quantitative pharmacology analyses.
🔗To the LinkedIn profile of Julian Kurz
Julian Kurz is Lead Expert Generative AI at HMS Analytical Software GmbH and leads HMS’s GenAI Center of Excellence, where the focus is to build sustainable structures that keep pace with customer and industry trends. He has been working in AI for a decade and brings a deeply technical, engineering-first perspective shaped by hands-on delivery and leadership on numerous projects across industries. He combines a curiosity for fundamentals and big-picture implications, with an understanding that engineering is about creating what is useful now.
